Most of the buildings that exist today were built based on 2D drawings. Building information
models that represent design-stage product information have become prevalent in the …

This paper addresses the challenge of enriching geometric digital twins of buildings, with a
particular emphasis on capturing small but important entities from the electrical and the fire …

Constructing geometric digital twins of highways at present still demands substantial human
effort. Unlike most previous work that uses deep learning models to segment point clouds of …

Despite the availability of 3D digital models, 2D floor plans remain extensively used for
quality inspection and maintenance as they offer firsthand information. While laser scanners …

The challenge that this paper addresses is how to generate geometric digital twins of the
indoor environment of buildings automatically. Unlike most previous research that starts with …

Purpose This study aims to introduce a new methodology for generating synthetic images for
facility management purposes. The method starts by leveraging the existing 3D open-source …

Automatic geometry digitisation of existing buildings remains challenging due to the large
scale and heavy clutter of input point clouds. This paper presents a two-stage hybrid method …

The rising volume of heterogeneous data accessible at various phases of the construction
process has had a significant impact on the construction industry. The availability of data is …

Digital twins have started to diffuse within architecture, engineering, construction, and
operations (AECO), based on their emerging and anticipated benefits to the various …

Die vorliegende Arbeit befasst sich mit der Unterstützung und Teilautomatisierung
komplexer und arbeitsintensiver Modellierungsprozesse von dreidimensionalen …